{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import Overlay\n",
    "导入Overlay"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "from pp4fpgas import CordicOverlay\n",
    "\n",
    "overlay = CordicOverlay()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "require(['notebook/js/codecell'], function(codecell) {\n",
       "  codecell.CodeCell.options_default.highlight_modes[\n",
       "      'magic_text/x-csrc'] = {'reg':[/^%%microblaze/]};\n",
       "  Jupyter.notebook.events.one('kernel_ready.Kernel', function(){\n",
       "      Jupyter.notebook.get_cells().map(function(cell){\n",
       "          if (cell.cell_type == 'code'){ cell.auto_highlight(); } }) ;\n",
       "  });\n",
       "});\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pynq import Overlay\n",
    "overlay = Overlay('cordic.bit')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Register level driver\n",
    "直接读写寄存器来使用overlay中的hls ip"
   ]
  },
  {
   "attachments": {
    "%E5%9C%B0%E5%9D%80%E8%AF%B4%E6%98%8E.JPG": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![%E5%9C%B0%E5%9D%80%E8%AF%B4%E6%98%8E.JPG](attachment:%E5%9C%B0%E5%9D%80%E8%AF%B4%E6%98%8E.JPG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The data type of theta is ap_fixed<12,2>\n",
    "\n",
    "theta的数据类型为ap_fixed<12,2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "theta = 0b010000000000                 \n",
    "overlay.cordic_0.write(0x10, theta)\n",
    "overlay.cordic_0.read(0x20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1028\n",
      "4091\n"
     ]
    }
   ],
   "source": [
    "#输出正弦和余弦值\n",
    "cos = overlay.cordic_0.read(0x20)\n",
    "sin = overlay.cordic_0.read(0x18)\n",
    "print(cos)\n",
    "print(sin)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Learn something about this overlay\n",
    "了解overlay相关的api，从中获取该overlay包含的信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'cordic_0': {'addr_range': 65536,\n",
       "  'driver': pynq.overlay.DefaultIP,\n",
       "  'fullpath': 'cordic_0',\n",
       "  'gpio': {},\n",
       "  'interrupts': {},\n",
       "  'phys_addr': 1136656384,\n",
       "  'state': None,\n",
       "  'type': 'xilinx.com:hls:cordic:1.0'}}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overlay.ip_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overlay.gpio_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: {'divisor0': 5, 'divisor1': 2, 'enable': 1},\n",
       " 1: {'divisor0': 1, 'divisor1': 1, 'enable': 0},\n",
       " 2: {'divisor0': 1, 'divisor1': 1, 'enable': 0},\n",
       " 3: {'divisor0': 1, 'divisor1': 1, 'enable': 0}}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overlay.clock_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/xilinx/jupyter_notebooks/pp4fpgas/cordic/cordic.bit'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overlay.bitfile_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overlay.hierarchy_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on Overlay in module pynq.overlay object:\n",
      "\n",
      "class Overlay(pynq.pl.Bitstream)\n",
      " |  This class keeps track of a single bitstream's state and contents.\n",
      " |  \n",
      " |  The overlay class holds the state of the bitstream and enables run-time\n",
      " |  protection of bindlings.\n",
      " |  \n",
      " |  Our definition of overlay is: \"post-bitstream configurable design\".\n",
      " |  Hence, this class must expose configurability through content discovery\n",
      " |  and runtime protection.\n",
      " |  \n",
      " |  The overlay class exposes the IP and hierarchies as attributes in the\n",
      " |  overlay. If no other drivers are available the `DefaultIP` is constructed\n",
      " |  for IP cores at top level and `DefaultHierarchy` for any hierarchies that\n",
      " |  contain addressable IP. Custom drivers can be bound to IP and hierarchies\n",
      " |  by subclassing `DefaultIP` and `DefaultHierarchy`. See the help entries\n",
      " |  for those class for more details.\n",
      " |  \n",
      " |  This class stores four dictionaries: IP, GPIO, interrupt controller\n",
      " |  and interrupt pin dictionaries.\n",
      " |  \n",
      " |  Each entry of the IP dictionary is a mapping:\n",
      " |  'name' -> {phys_addr, addr_range, type, config, state}, where\n",
      " |  name (str) is the key of the entry.\n",
      " |  phys_addr (int) is the physical address of the IP.\n",
      " |  addr_range (int) is the address range of the IP.\n",
      " |  type (str) is the type of the IP.\n",
      " |  config (dict) is a dictionary of the configuration parameters.\n",
      " |  state (str) is the state information about the IP.\n",
      " |  \n",
      " |  Each entry of the GPIO dictionary is a mapping:\n",
      " |  'name' -> {pin, state}, where\n",
      " |  name (str) is the key of the entry.\n",
      " |  pin (int) is the user index of the GPIO, starting from 0.\n",
      " |  state (str) is the state information about the GPIO.\n",
      " |  \n",
      " |  Each entry in the interrupt controller dictionary is a mapping:\n",
      " |  'name' -> {parent, index}, where\n",
      " |  name (str) is the name of the interrupt controller.\n",
      " |  parent (str) is the name of the parent controller or '' if attached\n",
      " |  directly to the PS7.\n",
      " |  index (int) is the index of the interrupt attached to.\n",
      " |  \n",
      " |  Each entry in the interrupt pin dictionary is a mapping:\n",
      " |  'name' -> {controller, index}, where\n",
      " |  name (str) is the name of the pin.\n",
      " |  controller (str) is the name of the interrupt controller.\n",
      " |  index (int) is the line index.\n",
      " |  \n",
      " |  Attributes\n",
      " |  ----------\n",
      " |  bitfile_name : str\n",
      " |      The absolute path of the bitstream.\n",
      " |  bitstream : Bitstream\n",
      " |      The corresponding bitstream object.\n",
      " |  ip_dict : dict\n",
      " |      All the addressable IPs from PS7. Key is the name of the IP; value is\n",
      " |      a dictionary mapping the physical address, address range, IP type,\n",
      " |      configuration dictionary, and the state associated with that IP:\n",
      " |      {str: {'phys_addr' : int, 'addr_range' : int,               'type' : str, 'config' : dict, 'state' : str}}.\n",
      " |  gpio_dict : dict\n",
      " |      All the GPIO pins controlled by PS7. Key is the name of the GPIO pin;\n",
      " |      value is a dictionary mapping user index (starting from 0),\n",
      " |      and the state associated with that GPIO pin:\n",
      " |      {str: {'index' : int, 'state' : str}}.\n",
      " |  interrupt_controllers : dict\n",
      " |      All AXI interrupt controllers in the system attached to\n",
      " |      a PS7 interrupt line. Key is the name of the controller;\n",
      " |      value is a dictionary mapping parent interrupt controller and the\n",
      " |      line index of this interrupt:\n",
      " |      {str: {'parent': str, 'index' : int}}.\n",
      " |      The PS7 is the root of the hierarchy and is unnamed.\n",
      " |  interrupt_pins : dict\n",
      " |      All pins in the design attached to an interrupt controller.\n",
      " |      Key is the name of the pin; value is a dictionary\n",
      " |      mapping the interrupt controller and the line index used:\n",
      " |      {str: {'controller' : str, 'index' : int}}.\n",
      " |  \n",
      " |  Method resolution order:\n",
      " |      Overlay\n",
      " |      pynq.pl.Bitstream\n",
      " |      pynq.pl._BitstreamMeta\n",
      " |      builtins.object\n",
      " |  \n",
      " |  Methods defined here:\n",
      " |  \n",
      " |  __dir__(self)\n",
      " |      __dir__() -> list\n",
      " |      default dir() implementation\n",
      " |  \n",
      " |  __getattr__(self, key)\n",
      " |      Overload of __getattr__ to return a driver for an IP or\n",
      " |      hierarchy. Throws an `RuntimeError` if the overlay is not loaded.\n",
      " |  \n",
      " |  __init__(self, bitfile_name, download=True, partial=False, ignore_version=False)\n",
      " |      Return a new Overlay object.\n",
      " |      \n",
      " |      An overlay instantiates a bitstream object as a member initially.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      bitfile_name : str\n",
      " |          The bitstream name or absolute path as a string.\n",
      " |      download : bool\n",
      " |          Whether the overlay should be downloaded.\n",
      " |      partial :\n",
      " |          Flag to indicate whether or not the bitstream is partial.\n",
      " |      \n",
      " |      Note\n",
      " |      ----\n",
      " |      This class requires a Vivado TCL file to be next to bitstream file\n",
      " |      with same name (e.g. `base.bit` and `base.tcl`).\n",
      " |  \n",
      " |  download(self)\n",
      " |      The method to download a bitstream onto PL.\n",
      " |      \n",
      " |      Note\n",
      " |      ----\n",
      " |      After the bitstream has been downloaded, the \"timestamp\" in PL will be\n",
      " |      updated. In addition, all the dictionaries on PL will\n",
      " |      be reset automatically.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      None\n",
      " |  \n",
      " |  is_loaded(self)\n",
      " |      This method checks whether a bitstream is loaded.\n",
      " |      \n",
      " |      This method returns true if the loaded PL bitstream is same\n",
      " |      as this Overlay's member bitstream.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      bool\n",
      " |          True if bitstream is loaded.\n",
      " |  \n",
      " |  load_ip_data(self, ip_name, data)\n",
      " |      This method loads the data to the addressable IP.\n",
      " |      \n",
      " |      Calls the method in the super class to load the data. This method can\n",
      " |      be used to program the IP. For example, users can use this method to\n",
      " |      load the program to the Microblaze processors on PL.\n",
      " |      \n",
      " |      Note\n",
      " |      ----\n",
      " |      The data is assumed to be in binary format (.bin). The data name will\n",
      " |      be stored as a state information in the IP dictionary.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      ip_name : str\n",
      " |          The name of the addressable IP.\n",
      " |      data : str\n",
      " |          The absolute path of the data to be loaded.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      None\n",
      " |  \n",
      " |  reset(self)\n",
      " |      This function resets all the dictionaries kept in the overlay.\n",
      " |      \n",
      " |      This function should be used with caution. In most cases, only those\n",
      " |      dictionaries keeping track of states need to be updated.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      None\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from pynq.pl.Bitstream:\n",
      " |  \n",
      " |  convert_bit_to_bin(self)\n",
      " |      The method to convert a .bit file to .bin file.\n",
      " |      \n",
      " |      A .bit file is generated by Vivado, but .bin files are needed\n",
      " |      by the Zynq Ultrascale FPGA manager driver. Users must specify\n",
      " |      the absolute path to the source .bit file, and the destination\n",
      " |      .bin file and have read/write access to both paths. \n",
      " |      \n",
      " |      Note\n",
      " |      ----\n",
      " |      Imlemented based on: https://blog.aeste.my/?p=2892\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      None\n",
      " |  \n",
      " |  parse_bit_header(self)\n",
      " |      The method to parse the header of a bitstream.\n",
      " |      \n",
      " |      The returned dictionary has the following keys:\n",
      " |      \"design\": str, the Vivado project name that generated the bitstream;\n",
      " |      \"version\": str, the Vivado tool version that generated the bitstream;\n",
      " |      \"part\": str, the Xilinx part name that the bitstream targets;\n",
      " |      \"date\": str, the date the bitstream was compiled on;\n",
      " |      \"time\": str, the time the bitstream finished compilation;\n",
      " |      \"length\": int, total length of the bitstream (in bytes);\n",
      " |      \"data\": binary, binary data in .bit file format\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      Dict\n",
      " |          A dictionary containing the header information.\n",
      " |      \n",
      " |      Note\n",
      " |      ----\n",
      " |      Implemented based on: https://blog.aeste.my/?p=2892\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes inherited from pynq.pl.Bitstream:\n",
      " |  \n",
      " |  BS_FPGA_MAN = '/sys/class/fpga_manager/fpga0/firmware'\n",
      " |  \n",
      " |  BS_FPGA_MAN_FLAGS = '/sys/class/fpga_manager/fpga0/flags'\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors inherited from pynq.pl._BitstreamMeta:\n",
      " |  \n",
      " |  __dict__\n",
      " |      dictionary for instance variables (if defined)\n",
      " |  \n",
      " |  __weakref__\n",
      " |      list of weak references to the object (if defined)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(overlay)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Write a driver for hls ip\n",
    "给hls ip写一个上层驱动"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pynq import DefaultIP\n",
    "\n",
    "class cordicDriver(DefaultIP):\n",
    "    def __init__(self, description):\n",
    "        super().__init__(description=description)\n",
    "\n",
    "    bindto = ['xilinx.com:hls:cordic:1.0']\n",
    "\n",
    "    def calc(self, theta):\n",
    "        self.write(0x10, theta)\n",
    "        return self.read(0x20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/pynq_pp4fpgas-1.0-py3.6.egg/pp4fpgas/cordic/cordic.bit load ready\n"
     ]
    }
   ],
   "source": [
    "from pp4fpgas import CordicOverlay\n",
    "\n",
    "cordic = CordicOverlay('cordic.bit')"
   ]
  },
  {
   "attachments": {
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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Diagram.JPG](attachment:Diagram.JPG)"
   ]
  },
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Address%20Editor.JPG](attachment:Address%20Editor.JPG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The data type is ap_fixed<12,2>\n",
    "\n",
    "数据类型为ap_fixed<12,2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "554"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cordic.cordic_0.calc(0b010000000000)    #同theta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
